Package: multicmp 1.1
Diag Davenport
multicmp: Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution
A toolkit containing statistical analysis models motivated by multivariate forms of the Conway-Maxwell-Poisson (COM-Poisson) distribution for flexible modeling of multivariate count data, especially in the presence of data dispersion. Currently the package only supports bivariate data, via the bivariate COM-Poisson distribution described in Sellers et al. (2016) <doi:10.1016/j.jmva.2016.04.007>. Future development will extend the package to higher-dimensional data.
Authors:
multicmp_1.1.tar.gz
multicmp_1.1.zip(r-4.7-any)multicmp_1.1.zip(r-4.6-any)multicmp_1.1.zip(r-4.5-any)
multicmp_1.1.tgz(r-4.6-any)multicmp_1.1.tgz(r-4.5-any)
multicmp_1.1.tar.gz(r-4.7-any)multicmp_1.1.tar.gz(r-4.6-any)
multicmp_1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
multicmp/json (API)
| # Install 'multicmp' in R: |
| install.packages('multicmp', repos = c('https://cranhaven.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/diagdavenport/multicmp/issues
- accidents - Shunter accidents
Last updated from:efdd83b6d0 (on package/multicmp). Checks:7 NOTE, 2 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | NOTE | 82 | ||
| source / vignettes | OK | 171 | ||
| linux-release | NOTE | 92 | ||
| macos-release | NOTE | 100 | ||
| macos-oldrel | NOTE | 113 | ||
| windows-devel | NOTE | 65 | ||
| windows-release | NOTE | 50 | ||
| windows-oldrel | NOTE | 56 | ||
| wasm-release | OK | 69 |
Exports:dbivCMPmulticmpests
Dependencies:numDeriv
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Shunter accidents | accidents |
| The Bivariate Conway-Maxwell-Poisson Distribution | dbivCMP |
| Bivariate COM-Poisson Parameter Estimation | multicmpests |